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Author: Robert Munro
Publisher: Simon and Schuster
ISBN: 1617296740
Category : Computers
Languages : en
Pages : 422
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Book Description
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Author: Robert Munro
Publisher: Simon and Schuster
ISBN: 1617296740
Category : Computers
Languages : en
Pages : 422
Get Book Here
Book Description
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Author: Jeanne Ellis Ormrod
Publisher: Prentice Hall
ISBN: 9780132595186
Category : Behaviorism (Psychology)
Languages : en
Pages : 0
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Book Description
"The market-leading education textbook on learning theories, Human Learning, Sixth Edition, covers a broad range of concepts and is supported by the author's lucid and engaging writing style, which helps readers learn the book's content meaningfully. In this new sixth edition, readers will find significant updates to reflect the most current research in the field, including: expansion of the chapter on cognition and memory; re-organization of content on Piaget and Vygotsky into two separate chapters; a core section on teaching critical-thinking skills; and the significantly revised discussion of technology-based instructed. Instructors and students alike can feel confident in learning about learning with this influential and best-selling author"--Publisher's website.
Author: Jianlong Zhou
Publisher: Springer
ISBN: 3319904035
Category : Computers
Languages : en
Pages : 485
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Book Description
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Author: Arthur W. Melton
Publisher: Academic Press
ISBN: 1483258378
Category : Psychology
Languages : en
Pages : 373
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Book Description
Categories of Human Learning covers the papers presented at the Symposium on the Psychology of Human Learning, held at the University of Michigan, Ann Arbor on January 31 and February 1, 1962. The book focuses on the different classifications of human learning. The selection first offers information on classical and operant conditioning and the categories of learning and the problem of definition. Discussions focus on classical and instrumental conditioning and the nature of reinforcement; comparability of the forms of human learning; conditioning experiments with human subjects; and subclasses of classical and instrumental conditioning. The text then takes a look at the representativeness of rote verbal learning and centrality of verbal learning. The publication ponders on probability learning, evaluation of stimulus sampling theory, and short-term memory and incidental learning. Topics include short-term retention, stimulus variation experiments, reinforcement schedules and mean response, systematic interpretations, and methodological approaches. The book then examines the behavioral effects of instruction to learning, verbalizations and concepts, and the generality of research on transfer functions. The selection is highly recommended for psychologists and educators wanting to conduct studies on the categories of human learning.
Author: Leslie A. Hart
Publisher:
ISBN: 9780962447594
Category : Educational psychology
Languages : en
Pages : 416
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Book Description
Orchestrating learning that is bodybrain-compatible must be the foundation for what goes on in the classroom. Hart brilliantly explains the biology of learning related to classroom practice and allows the reader to "see" what is necessary for real reform efforts to succeed. The reader comes to appreciate how the brain makes meaning through pattern recognition, prepares to act through mental programs, and responds to emotion.
Author: Leston L. Havens
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Psychology
Languages : en
Pages : 168
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Book Description
Author: Donna Coch
Publisher: Guilford Press
ISBN: 1606239686
Category : Psychology
Languages : en
Pages : 433
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Book Description
Synthesizing the breadth of current knowledge on brain behavior relationships in atypically developing children, this important volume integrates theories and data from multiple disciplines. Leading authorities present their latest research on specific clinical problems, including autism, Williams syndrome, learning and language disabilities, ADHD, and issues facing infants of diabetic mothers. In addition, the effects of social stress and maltreatment on brain development and behavior are thoroughly reviewed. Demonstrating the uses of cuttingedge methods from developmental neuroscience, developmental psychology, and cognitive science, the contributors emphasize the implications of their findings for real-world educational and clinical practices.
Author: Joanne McEachen
Publisher: Corwin Press
ISBN: 1544330812
Category : Education
Languages : en
Pages : 185
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Book Description
Measure what matters for deeper learning Getting at the heart of what matters for students is key to deeper learning that connects with their lives, but what good is knowing what matters without also understanding how to bring it to life? What does it really take to know who students are, what they are truly learning, and why? Measuring Human Return solves this dilemma with a comprehensive, systematic process for measuring deeper learning outcomes. Educators will learn to assess students’ self-understanding, knowledge, competencies, and connections through vignettes, case studies, learning experiences and tools. The book helps readers: Develop key system capabilities to build the foundation for sustainable engagement, measurement, and change Discover five comprehensive "frames" for measuring deeper learning Engage in the process of collaborative inquiry Commit to the central, active role of learners by engaging them as partners in every aspect of their learning Discover how to take an authentic, formative, and inquiry-driven approach to measuring the outcomes that drive deeper learning. The book really hits the mark. The best thing about it is the in-depth discussion of systems. It is with great pleasure that I read and re-read this book. It delivers a good combination of big vision with specific strategies and techniques. Jeff Beaudry, Professor, Educational Leadership; University of Southern Maine; Portland, ME This is just what we need in our district. This engaging book will help Change Teams support their systems to effectively measure deeper learning. Readers will be drawn in by great examples from around the globe of educators putting students first. This energizing book calls us to take action for all of our students today and for our future. Charisse Berner, Director of Teaching and Learning, Curriculum; Bellingham Public Schools; Bellingham, WA
Author: Joshua Eyler
Publisher: Teaching and Learning in Highe
ISBN: 9781946684653
Category : Education
Languages : en
Pages : 0
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Book Description
Even on good days, teaching is a challenging profession. One way to make the job of college instructors easier, however, is to know more about the ways students learn. How Humans Learn aims to do just that by peering behind the curtain and surveying research in fields as diverse as developmental psychology, anthropology, and cognitive neuroscience for insight into the science behind learning. The result is a story that ranges from investigations of the evolutionary record to studies of infants discovering the world for the first time, and from a look into how our brains respond to fear to a reckoning with the importance of gestures and language. Joshua R. Eyler identifies five broad themes running through recent scientific inquiry--curiosity, sociality, emotion, authenticity, and failure--devoting a chapter to each and providing practical takeaways for busy teachers. He also interviews and observes college instructors across the country, placing theoretical insight in dialogue with classroom experience.
Author: Ezey M. Dar-El
Publisher: Springer Science & Business Media
ISBN: 1475731132
Category : Business & Economics
Languages : en
Pages : 241
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Book Description
Learning plays a fundamental role in the production planning and growth of all organizations. With the need for more rapid changes in the global economy, the management of organizational change is a key factor in sustaining competitiveness in today's economy. This book has been developed with these `learning needs' in mind. Human Learning:From Learning Curves to Learning Organizations covers a broad range of learning models and related topics beginning with learning curves to recent research on learning organizations. The book's focus is to enable researchers and practitioners to forecast any organization's `learning needs' using the prediction aspects of an array of learning models. The book includes research and application discussions on topics such as accounting for previous experience; the `learning-forgetting-relearning' phenomenon; parameter estimation with no previous experience; DeJong's incompressibility model; predictive learning models requiring only two learning parameters; long learning cycle times; the speed-error relationship; evaluating the cost of learning from the point of view of safety; and an examination of Learning Organizations. Each chapter is developed from published research and worked examples are used throughout.
